Research Data Analyst

4 weeks ago


Baltimore, United States Johns Hopkins University Full time

The Johns Hopkins Bloomberg School of Public Health is consistently ranked the #1 School of Public Health in the world. It is dedicated to promoting human health and provides a rich environment for research and translation of those findings. Additionally, our research team is affiliated with the Department of Epidemiology and Wendy Klag Center for Autism & Developmental Disabilities (WKC). As a member of our research team, you will have an opportunity to attend journal clubs, meetings, and annual symposia and retreat events.

**Specific Duties & Responsibilities**
- Work in collaboration with scientists and core staff to address research questions involving the analysis of genetic and environmental risk hypotheses.
- Carry out data analyses for large genomic and epidemiologic datasets, including genetic, epigenetic, expression, and other -omics data including summary measures of omics data such as polygenic risk scores.
- Mine publicly available -omic databases.
- Identify systematic problems with data related to lab or data cleaning methods, software, or personnel.
- Document work and data analyses, particularly through organized digital records of data set sources, file locations, and statistical and bioinformatics code.
- Interpret and translate the results of statistical analyses.
- Clearly summarize and present findings at team meetings.
- Prepare written reports of statistical analyses, including relevant statistical theory, references, methods, results, and conclusions to contribute to scientific publications.
- Keep abreast of technical and academic resources related to the methodology of statistical analyses.

**Minimum Qualifications**
- Bachelor's Degree in related discipline.
- Three years related experience.
- Additional education may substitute for required experience to the extent permitted by the JHU equivalency formula.

**Preferred Qualifications**
- Master's Degree, with specific training in genomics.
- Experience performing analyses on a high-performance compute cluster utilizing parallelization and multi-threading.
- Experience in data management and analysis of high-dimensional or longitudinal data is preferred.
- A strong research record in genetic epidemiology including experience in genetic association (GWAS), epigenomic or other -omics analysis, post-GWAS analysis, and polygenic score or exome sequencing data experience is highly desirable.

Classified Title: Research Data Analyst
Role/Level/Range: ACRP/04/MC
Starting Salary Range: $47,500 - $83,300 Annually (Commensurate with experience)
Employee group: Full Time
Schedule: Monday to Friday: 9 am - 5 pm
Exempt Status: Exempt
Location: Hybrid/School of Public Health
Department name: Epidemiology
Personnel area: School of Public Health


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